%0 Journal Article %1 Berezin2015Localized %A Berezin, Yehiel %A Bashan, Amir %A Danziger, Michael M. %A Li, Daqing %A Havlin, Shlomo %D 2015 %J Scientific Reports %K kinetics, spatial-networks, targeted-attack interdependent-networks %P 8934+ %R 10.1038/srep08934 %T Localized attacks on spatially embedded networks with dependencies %U http://dx.doi.org/10.1038/srep08934 %V 5 %X Many real world complex systems such as infrastructure, communication and transportation networks are embedded in space, where entities of one system may depend on entities of other systems. These systems are subject to geographically localized failures due to malicious attacks or natural disasters. Here we study the resilience of a system composed of two interdependent spatially embedded networks to localized geographical attacks. We find that if an attack is larger than a finite (zero fraction of the system) critical size, it will spread through the entire system and lead to its complete collapse. If the attack is below the critical size, it will remain localized. In contrast, under random attack a finite fraction of the system needs to be removed to initiate system collapse. We present both numerical simulations and a theoretical approach to analyze and predict the effect of local attacks and the critical attack size. Our results demonstrate the high risk of local attacks on interdependent spatially embedded infrastructures and can be useful for designing more resilient systems.

@article{Berezin2015Localized, abstract = {{Many real world complex systems such as infrastructure, communication and transportation networks are embedded in space, where entities of one system may depend on entities of other systems. These systems are subject to geographically localized failures due to malicious attacks or natural disasters. Here we study the resilience of a system composed of two interdependent spatially embedded networks to localized geographical attacks. We find that if an attack is larger than a finite (zero fraction of the system) critical size, it will spread through the entire system and lead to its complete collapse. If the attack is below the critical size, it will remain localized. In contrast, under random attack a finite fraction of the system needs to be removed to initiate system collapse. We present both numerical simulations and a theoretical approach to analyze and predict the effect of local attacks and the critical attack size. Our results demonstrate the high risk of local attacks on interdependent spatially embedded infrastructures and can be useful for designing more resilient systems.}}, added-at = {2019-06-10T14:53:09.000+0200}, archiveprefix = {arXiv}, author = {Berezin, Yehiel and Bashan, Amir and Danziger, Michael M. and Li, Daqing and Havlin, Shlomo}, biburl = {https://www.bibsonomy.org/bibtex/25c04540ab2e3d36b3b59ebb16f86d88c/nonancourt}, citeulike-article-id = {12726436}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/srep08934}, citeulike-linkout-1 = {http://arxiv.org/abs/1310.0996}, citeulike-linkout-2 = {http://arxiv.org/pdf/1310.0996}, day = 11, doi = {10.1038/srep08934}, eprint = {1310.0996}, interhash = {cf6a1e6fc43bc9535e9a433610299615}, intrahash = {5c04540ab2e3d36b3b59ebb16f86d88c}, issn = {2045-2322}, journal = {Scientific Reports}, keywords = {kinetics, spatial-networks, targeted-attack interdependent-networks}, month = mar, pages = {8934+}, posted-at = {2013-10-17 15:01:21}, priority = {2}, timestamp = {2019-08-01T15:38:00.000+0200}, title = {{Localized attacks on spatially embedded networks with dependencies}}, url = {http://dx.doi.org/10.1038/srep08934}, volume = 5, year = 2015 }